An Entropy-Based Directed Random Walk for Cancer Classification Using Gene Expression Data Based on Bi-Random Walk on Two Separated Networks

• Main Authors: Xin Hui Tay, Xin Hui Tay, Shahreen Kasim, Shahreen Kasim, Tole Sutikno, Tole Sutikno, Md Fudzee, Mohd Farhan, Hassan, Rohayanti, Patah Akhir, Emelia Akashah, Aziz, Norshakirah, Choon Sen Seah, Choon Sen Seah
• Format: Article
• Language: English
• Published: Mdpi 2023
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/9586/1/J16097_fc692a6f023a80413e40b199966c0376.pdf; http://eprints.uthm.edu.my/9586/; https://doi.org/10.3390/genes14030574
• Institution: Universiti Tun Hussein Onn Malaysia

The integration of microarray technologies and machine learning methods has become popular in predicting the pathological condition of diseases and discovering risk genes. Traditional microarray analysis considers pathways as a simple gene set, treating all genes in the pathway identically while ig...